System for Providing Context Associated with Data mining Results

• US 20070094253A1
• Filed: 10/19/2006
• Published: 04/26/2007
• Est. Priority Date: 10/22/2005
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bent, Graham
• Application Number:
  US11/550,914
• Publication Number:
  US 20070094253A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/338 Presentation of query results

Abstract

A system for providing context associated with data mining results, for use with a data mining application for mining a first document set and for determining, in response to the mining, a correlation. The system comprises: a search means for comparing the correlation against content of a second document set to search for a matching correlation; and an extractor for extracting, in response to finding the matching correlation in a document of the second document set, a set of contextual data associated with the document of the second document set.

Claims

1. A system for providing context associated with data mining results, for use with a data mining application for mining a first document set and for determining, in response to the mining, a correlation, wherein the system comprises:

a search means for comparing the correlation against content of a second document set to search for a matching correlation, and

an extractor for extracting, in response to finding the matching correlation in a document of the second document set, a set of contextual data associated with the document of the second document set.

2. A system as claimed in claim 1, further comprising a generator for using the correlation to generate a search input.

3. A system as claimed in claim 2, wherein the search means compares the search input to the content of the second document set.

4. A system as claimed in claim 1, wherein the search means generates search results comprising components of the matching correlation.

5. A system as claimed in claim 4, further comprising an analyser for analysing the search results to generate data associated with the matching correlation.

6. A system as claimed in claim 5, wherein the analyser executes a proximity analysis.

7. A system as claimed in claim 1, further comprising a display component for displaying the set of contextual data associated with the document.

8. A system as claimed in claim 1 wherein the set of contextual data associated with the document is associated with the correlation.

9. A system as claimed in claim 1 wherein a size of the set of contextual data associated with the document is pre-configurable.

10. A system as claimed in claim 1 wherein a location of the set of contextual data associated with the document is pre-configurable.

11. A system as claimed in claim 1, further comprising a ranker for ranking, in response to finding the matching correlation in a plurality of documents of the second document set, the plurality of documents.

12. A system as claimed in claim 11, further comprising a selector for selecting at least one of the ranked plurality of documents.

13. A system as claimed in claim 12, wherein the extractor extracts a set of contextual data associated with the selected document.

14. A method for providing a service to a customer for providing context associated with data mining results, for use with a data mining application for mining a first document set and for determining, in response to the mining, a correlation, comprising:

comparing the correlation against a second document set to search for the correlation; and

extracting, in response to finding the correlation in a document of the second document set, a set of contextual data associated with the document.

15. A method as claimed in claim 14, further comprising the step of using the correlation to generate a search input.

16. A method as claimed in claim 15, further comprising the step of comparing the search input to the content of the second document set.

17. A method as claimed in any of claims 15, further comprising the step of generating search results comprising components of the matching correlation.

18. A method as claimed in claim 17, further comprising the step of analysing the search results to generate data associated with the matching correlation.

19. A method as claimed in claim 18, further comprising the step of executing a proximity analysis.

20. A method as claimed in claim 14, further comprising the step of displaying the set of contextual data associated with the document.

21. A method as claimed in claim 14, wherein the set of contextual data associated with the document is associated with the correlation.

22. A method as claimed in claim 14, wherein a size of the set of contextual data associated with the document is pre-configurable.

23. A method as claimed in claim 14, wherein a location of the set of contextual data associated with the document is pre-configurable.

24. A method as claimed in claim 14, further comprising the step of ranking, in response to finding the matching correlation in a plurality of documents of the second document set, the plurality of documents.

25. A method as claimed in claim 24, further comprising the step of selecting at least one of the ranked plurality of documents.

26. A computer-readable storage medium comprising program instructions which when executed by a computer controls the computer to perform the method steps of:

comparing the correlation against content of a second document set to search for a matching correlation, and

extracting, in response to finding the matching correlation in a document of the second document set, a set of contextual data associated with the document of the second document set.

27. The storage medium of claim 26, further comprising program code instructions for using the correlation to generate a search input.

28. The storage medium of claim 27, further comprising program code instructions for comparing the search input to the content of the second document set.

29. The storage medium of claim 26, further comprising program code instructions for generating search results comprising components of the matching correlation.

30. The storage medium of claim 29, further comprising program code instructions for analysing the search results to generate data associated with the matching correlation.

31. The storage medium of claim 26, further comprising program code instructions for executing a proximity analysis.

32. The storage medium of claim 26, further comprising program code instructions for displaying the set of contextual data associated with the document.

33. The storage medium of claim 26, wherein the set of contextual data associated with the document is associated with the correlation.

34. The storage medium of claim 26, wherein a size of the set of contextual data associated with the document is pre-configurable.

35. The storage medium of claim 26, wherein a location of the set of contextual data associated with the document is pre-configurable.

36. The storage medium of claim 26, further comprising program code instructions for ranking, in response to finding the matching correlation in a plurality of documents of the second document set, the plurality of documents.

37. The storage medium of claim 36, further comprising program code instructions for selecting at least one of the ranked plurality of documents.